Valentin Radu

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 34

Top Topics

Location Tracking

Convolutional Neural Networks

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

EuroMLSys@EuroSys

Publications

Rima H. Binsaeed, Zahid Yousaf, Adriana Grigorescu, Valentin Radu, Abdelmohsen A. Nassani
Digital Revolution and Digitization Process to Promote AIS as a Vector of Financial Performance. Syst. 11 (7) (2023)
Hongrui Shi, Valentin Radu, Po Yang
Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems. EuroMLSys@EuroSys (2023)
Hongrui Shi, Valentin Radu, Po Yang
Lightweight Workloads in Heterogeneous Federated Learning via Few-shot Learning. DistributedML@CoNEXT (2023)
Anselmo Talotta, Valentin Radu, Lorenzo Sorgi
Floorplan Generation from Noisy Point Cloud. GeoIndstry@SIGSPATIAL (2023)
Hongrui Shi, Valentin Radu, Po Yang
Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning. CoRR (2022)
Naums Mogers, Lu Li, Valentin Radu, Christophe Dubach
Mapping parallelism in a functional IR through constraint satisfaction: a case study on convolution for mobile GPUs. CC (2022)
Hongrui Shi, Valentin Radu
Data selection for efficient model update in federated learning. EuroMLSys@EuroSys (2022)
Xijia Wei, Valentin Radu
Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data. IPIN (2022)
Hongrui Shi, Valentin Radu
Data Selection for Efficient Model Update in Federated Learning. CoRR (2021)
Xijia Wei, Zhiqiang Wei, Valentin Radu
Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks. Sensors 21 (22) (2021)
Mattias Cross, Valentin Radu
An Immune Inspired Algorithm for Fault Tolerant Enhanced Multimodal Machine Learning. BIBM (2021)
Rik Mulder, Valentin Radu, Christophe Dubach
Fast Optimisation of Convolutional Neural Network Inference using System Performance Models. EuroMLSys@EuroSys (2021)
Josh Barrows, Valentin Radu, Matthew Hill, Fabio Ciravegna
Active Learning with Data Distribution Shift Detection for Updating Localization Systems. IPIN (2021)
Xijia Wei, Zhiqiang Wei, Valentin Radu
MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks. IPIN (2021)
Hongrui Shi, Valentin Radu
Towards Federated Learning with Attention Transfer to Mitigate System and Data Heterogeneity of Clients. EdgeSys@EuroSys (2021)
Rik Mulder, Valentin Radu, Christophe Dubach
Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning. CoRR (2020)
Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. CoRR (2020)
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. SBAC-PAD (2020)
David Strömbäck, Sangxia Huang, Valentin Radu
MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (4) (2020)
Naums Mogers, Valentin Radu, Lu Li, Jack Turner, Michael F. P. O'Boyle, Christophe Dubach
Automatic generation of specialized direct convolutions for mobile GPUs. GPGPU@PPoPP (2020)
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. CoRR (2020)
Valentin Radu, Florin Radu, Alina Iuliana Tabirca, Silviu Ilie Saplacan, Ramona Lile
Bibliometric Analysis of Fuzzy Logic Research in International Scientific Databases. Int. J. Comput. Commun. Control 16 (1) (2020)
Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. IISWC (2019)
Adrian Cosma, Ion Emilian Radoi, Valentin Radu
CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras. IPIN (2019)
Ion Emilian Radoi, Dumitru Cirimpei, Valentin Radu
Localization Systems Repository: A Platform for Open-source Localization Systems and Datasets. IPIN (2019)
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming. PACT (2019)
Xijia Wei, Valentin Radu
Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking. IPIN (2019)
Valentin Radu, Maximilian Henne
Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (3) (2019)
Adrian Cosma, Ion Emilian Radoi, Valentin Radu
CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras. CoRR (2018)
Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. CoRR (2018)
Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. IISWC (2018)
Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos J. Storkey, Michael F. P. O'Boyle
HAKD: Hardware Aware Knowledge Distillation. CoRR (2018)
Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar
Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (4) (2017)
Valentin Radu, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar
Towards multimodal deep learning for activity recognition on mobile devices. UbiComp Adjunct (2016)
Mahesh K. Marina, Valentin Radu, Konstantinos Balampekos
Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis. AllThingsCellular@SIGCOMM (2015)
Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina
A semi-supervised learning approach for robust indoor-outdoor detection with smartphones. SenSys (2014)
Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina
Poster: am i indoor or outdoor? MobiCom (2014)
Valentin Radu, Lito Kriara, Mahesh K. Marina
Pazl: A mobile crowdsensing based indoor WiFi monitoring system. CNSM (2013)
Valentin Radu, Mahesh K. Marina
HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting. IPIN (2013)
Valentin Radu, Jiwei Li, Lito Kriara, Mahesh K. Marina, Richard Mortier
Poster: a hybrid approach for indoor mobile phone localization. MobiSys (2012)